Die Vorratsdatenspeicherung in Europa. - Thea Riebe; Jasmin Haunschild; Felix Divo; Matthias Lang; Gerbert Roitburd; Jonas Franken; Christian Reuter 001 (Datenschutz und Datensicherheit, 2020)

Tslearn, A Machine Learning Toolkit for Time Series Data. - Romain Tavenard; Johann Faouzi; Gilles Vandewiele; Felix Divo; Guillaume Androz; Chester Holtz; Marie Payne; Roman Yurchak; Marc Rußwurm; Kushal Kolar; Eli Woods (J. Mach. Learn. Res., 2020)

Graph Neural Networks Need Cluster-Normalize-Activate Modules. - Arseny Skryagin; Felix Divo; Mohammad Amin Ali; Devendra Singh Dhami; Kristian Kersting (NeurIPS, 2024)

United We Pretrain, Divided We Fail! Representation Learning for Time Series by Pretraining on 75 Datasets at Once. - Maurice Kraus; Felix Divo; David Steinmann; Devendra Singh Dhami; Kristian Kersting (CoRR, 2024)

xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories. - Maurice Kraus; Felix Divo; Devendra Singh Dhami; Kristian Kersting (CoRR, 2024)

Navigating Shortcuts, Spurious Correlations, and Confounders: From Origins via Detection to Mitigation. - David Steinmann; Felix Divo; Maurice Kraus; Antonia Wüst; Lukas Struppek; Felix Friedrich; Kristian Kersting (CoRR, 2024)

The Constitutional Filter. - Simon Kohaut; Felix Divo; Benedict Flade; Devendra Singh Dhami; Julian Eggert; Kristian Kersting (CoRR, 2024)

Forecasting Company Fundamentals. - Felix Divo; Eric Endress; Kevin Endler; Kristian Kersting; Devendra Singh Dhami (Trans. Mach. Learn. Res., 2025)

Exploring Neural Granger Causality with xLSTMs: Unveiling Temporal Dependencies in Complex Data. - Harsh Poonia; Felix Divo; Kristian Kersting; Devendra Singh Dhami (CoRR, 2025)

The Constitutional Controller: Doubt-Calibrated Steering of Compliant Agents. - Simon Kohaut; Felix Divo; Navid Hamid; Benedict Flade; Julian Eggert; Devendra Singh Dhami; Kristian Kersting (CoRR, 2025)